Results 91 to 100 of about 4,702 (258)

Functionalized TiO2 Catalysts: Revolutionary Candidate for Low‐Temperature MgH2 and Prospects for Intelligent Integration

Advanced Intelligent Discovery, EarlyView.
Recent advances in TiO2 modification strategies: structure regulation and composite engineering for improved activity and functionality. TiO2 has emerged as a pivotal catalyst for enhancing MgH2, a high‐capacity solid‐state hydrogen storage material, owing to its structural versatility.
Xiaopeng Chu, Jinghao Wang, Haojie Shi, Chuanxin Peng, Jiacheng Qi, Ge Gao, Guoquan Na, Haibo Yu, Kela Xiao, Gangqiang Wu, Zhendong Yao   +10 more
wiley   +1 more source

Current Standards of Monitoring Models in Healthcare Settings

Advanced Intelligent Discovery, EarlyView.
AI/ML‐enabled medical devices are entering clinical practice faster than monitoring standards mature. This review highlights gaps in postmarket surveillance, limited use of predetermined change‐control plans, and the need for ongoing performance tracking, drift detection, explainability, and workflow‐aware governance to support safer, more reliable ...
Alan Kay, Daljit Takher, Wenting Liu, Emily Wittrup, Gilbert S. Omenn, Kayvan Najarian   +5 more
wiley   +1 more source

SpectraNet: a lightweight hybrid time–frequency deep learning framework for sustainable cloud workload forecasting

Journal of Cloud Computing: Advances, Systems and Applications
The rapid proliferation of cloud computing has created the demand for sustainable resource management strategies to address the increasing energy consumption and carbon footprint of data centers. Accurate CPU workload forecasting is a cornerstone of this
Nahin F. Siddiqui, Zarif Safwan Hoque, Md. Ehsanul Haque, Abu Raihan Mostofa Kamal, A. K. M. Azad, Salem A. Alyami, Md Azam Hossain   +6 more
doaj   +1 more source

AERO: Adaptive Edge-Cloud Orchestration With a Sub-1K-Parameter Forecasting Model

IEEE Transactions on Machine Learning in Communications and Networking
Effective resource management in edge-cloud networks is crucial for meeting Quality of Service (QoS) requirements while minimizing operational costs. However, dynamic and fluctuating workloads pose significant challenges for accurate workload prediction ...
Berend J. D. Gort, Godfrey M. Kibalya, Angelos Antonopoulos   +2 more
doaj   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source

Federated Learning for Workload Forecasting for Network Service Management

2025 14th International Conference on Modern Circuits and Systems Technologies (MOCAST)
Next generation networks are expected to connect and manage a vast number of heterogeneous devices stretching over diverse and distributed technological domains (e.g., radio, transport, core), by embracing a ubiquitous presence of AI and ML within their operations.
Brodimas, Dimitrios, Mylonas, Eleftherios, Birbas, Alexios, Kapolos, Dimitrios, Birbas, Michael   +4 more
openaire   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Workload-Aware Edge Node Orchestration and Dynamic Resource Scaling in MEC

Future Internet
The emergence of edge computing introduces significant opportunities to improve real-time responsiveness and reduce latency by deploying computational resources closer to end users, at the edge, compared to traditional centralized cloud computing ...
Efthymios Oikonomou, Angelos Rouskas
doaj   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source